Literature DB >> 16301598

Insurance status and the use of guideline therapy in the treatment of selected cancers.

Linda C Harlan1, Amanda L Greene, Limin X Clegg, Margaret Mooney, Jennifer L Stevens, Martin L Brown.   

Abstract

PURPOSE: This study estimates the impact of type of insurance coverage on the receipt of guideline therapy in a population-based sample of cancer patients treated in the community. PATIENTS AND METHODS: Patients (n = 7,134) from the National Cancer Institute's Patterns of Care studies who were newly diagnosed with 11 different types of cancer were analyzed. The definition of guideline therapy was based on the National Comprehensive Cancer Network treatment recommendations. Insurance status was categorized as a mutually exclusive hierarchical variable (no insurance, any private insurance, any Medicaid, Medicare only, and all other). Multivariate analyses were used to examine the association between insurance and receipt of guideline therapy.
RESULTS: Adjusting for clinical and nonclinical variables, insurance status was a modest, although statistically significant, determinant of receipt of guideline therapy, with 65% of the privately insured patients receiving recommended therapy compared with 60% of patients with Medicaid. Seventy percent of the uninsured patients received guideline therapy, which was nonsignificantly different compared with private insurance. When stratified by race, insurance was a statistically significant predictor of the receipt of guideline therapy only for non-Hispanic blacks.
CONCLUSION: Overall, levels of guideline treatment were lower than expected and particularly low for patients with Medicaid or Medicare only. The use of guideline therapy for ovarian and cervical cancer patients and for patients with rectal cancers was unrelated to type of insurance. Of particular concern is the significantly lower use of guideline therapy for non-Hispanic black patients with Medicaid. After adjusting for other factors, only half of these patients received guideline therapy.

Entities:  

Mesh:

Year:  2005        PMID: 16301598     DOI: 10.1200/JCO.2004.00.1297

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  53 in total

1.  Medicine as it should be: a cultural shift.

Authors:  Al B Benson
Journal:  J Oncol Pract       Date:  2011-08-04       Impact factor: 3.840

2.  Comparison of anal cancer outcomes in public and private hospital patients treated at a single radiation oncology center.

Authors:  Danielle S Bitterman; David Grew; Ping Gu; Richard F Cohen; Nicholas J Sanfilippo; Cynthia G Leichman; Lawrence P Leichman; Harvey G Moore; Heather T Gold; Kevin L Du
Journal:  J Gastrointest Oncol       Date:  2015-10

3.  Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Hoda Anton-Culver; Veronica M Vieira
Journal:  Gynecol Oncol       Date:  2014-03-25       Impact factor: 5.482

4.  Adjuvant chemotherapy among medicaid-enrolled patients diagnosed with nonmetastatic colon cancer.

Authors:  Kristie L Foley; Janet A Tooze; Heidi D Klepin; Eun-Young Song; Ann M Geiger
Journal:  Am J Clin Oncol       Date:  2011-04       Impact factor: 2.339

5.  Variation in insurance status by patient demographics and tumor site among nonelderly adult patients with cancer.

Authors:  Stephen R Grant; Gary V Walker; B Ashleigh Guadagnolo; Matthew Koshy; Pamela K Allen; Usama Mahmood
Journal:  Cancer       Date:  2015-04-27       Impact factor: 6.860

6.  Socioeconomic status as a predictor of adherence to treatment guidelines for early-stage ovarian cancer.

Authors:  Melissa Hodeib; Jenny Chang; Fong Liu; Argyrios Ziogas; Sarah Dilley; Leslie M Randall; Hoda Anton-Culver; Robert E Bristow
Journal:  Gynecol Oncol       Date:  2015-04-22       Impact factor: 5.482

7.  Physical activity barriers and resources among black women with a history of breast and endometrial cancer: a systematic review.

Authors:  Natasha R Burse; Nishat Bhuiyan; Scherezade K Mama; Kathryn H Schmitz
Journal:  J Cancer Surviv       Date:  2020-04-02       Impact factor: 4.442

8.  Selecting high priority quality measures for breast cancer quality improvement.

Authors:  Michael J Hassett; Melissa E Hughes; Joyce C Niland; Rebecca Ottesen; Stephen B Edge; Michael A Bookman; Robert W Carlson; Richard L Theriault; Jane C Weeks
Journal:  Med Care       Date:  2008-08       Impact factor: 2.983

9.  Disparities in ovarian cancer care quality and survival according to race and socioeconomic status.

Authors:  Robert E Bristow; Matthew A Powell; Noor Al-Hammadi; Ling Chen; J Philip Miller; Phillip Y Roland; David G Mutch; William A Cliby
Journal:  J Natl Cancer Inst       Date:  2013-03-28       Impact factor: 13.506

10.  Incremental value of using Medicaid claim files to study comorbid conditions and treatments in dually eligible beneficiaries.

Authors:  Cathy J Bradley; Bassam Dahman; Paul M Bataki; Siran Koroukian
Journal:  Med Care       Date:  2010-01       Impact factor: 2.983

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.